3 papers
cs.NI2025
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
Marie Siew, Shikhar Sharma, Zekai Li +5
In edge computing, users' service profiles are migrated due to user mobility. Reinforcement learning (RL) frameworks have been proposed to do so, often trained on simulated data. H…
cs.IT2025
Task-oriented Age of Information for Remote Inference with Hybrid Language Models
Shuying Gan, Xijun Wang, Chenyuan Feng +4
Large Language Models (LLMs) have revolutionized the field of artificial intelligence (AI) through their advanced reasoning capabilities, but their extensive parameter sets introdu…
cs.NI2024
Task-oriented Age of Information for Remote Monitoring Systems
Shuying Gan, Xijun Wang, Chao Xu +1
The emergence of intelligent applications has fostered the development of a task-oriented communication paradigm, where a comprehensive, universal, and practical metric is crucial…